datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Mem-Gallery
📖 Overview
Mem-Gallery is a comprehensive benchmark dataset designed to evaluate multimodal long-term memory capabilities of MLLM agents across multi-session conversations. The dataset features realistic, persona-driven dialogues spanning 20 scenarios, each enriched with contextual images to test memory retention, recall, and reasoning over extended interactions.
🎯 Key Features
Diverse Scenarios: Covering topics from AI & Robotics to Daily Life… See the full description on the dataset page: https://huggingface.co/datasets/Ethan-Bei/Mem-Gallery.Mem-Gallery
📖 Overview
Mem-Gallery is a comprehensive benchmark dataset designed to evaluate multimodal long-term memory capabilities of MLLM agents across multi-session conversations. The dataset features realistic, persona-driven dialogues spanning 20 scenarios, each enriched with contextual images to test memory retention, recall, and reasoning over extended interactions.
🎯 Key Features
Diverse Scenarios: Covering topics from AI & Robotics to Daily… See the full description on the dataset page: https://huggingface.co/datasets/Mars654321/Mem-Gallery.